Note: A GPU is not strictly required, but 16GB of RAM is recommended for local LLM inference.
git clone https://github.com/hackgen/hackgen cd hackgen make install hackgen --version # Output: hackgen 0.1.0 hackgen 0.1.0
Version confirms this is a debut. It is the moment the code leaves the private repository of a developer’s local machine and enters the public domain, subject to scrutiny, fork requests, and issue tracking. Note: A GPU is not strictly required, but
HackGen (short for Hack Generator ) is a lightweight, modular toolkit designed to automate the generation of custom payloads, wordlists, and fuzzing patterns for penetration testing and security research. Version is the initial public release — a minimal but functional proof of concept. HackGen (short for Hack Generator ) is a
https://github.com/hackgen-labs/hackgen/releases/tag/v0.1.0
Create SQLi, XSS, and path traversal strings from simple rule sets (e.g., base/../file ).
Built-in icons for your terminal powerline.
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